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DBMS > Hive vs. Spark SQL vs. Trino

System Properties Comparison Hive vs. Spark SQL vs. Trino

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrino  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopSpark SQL is a component on top of 'Spark Core' for structured data processingFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score71.83
Rank#18  Overall
#12  Relational DBMS
Score19.21
Rank#37  Overall
#23  Relational DBMS
Score6.07
Rank#68  Overall
#37  Relational DBMS
Websitehive.apache.orgspark.apache.org/­sqltrino.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homespark.apache.org/­docs/­latest/­sql-programming-guide.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterGitHubYouTube
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software FoundationTrino Software Foundation
Initial release201220142012 info2020 rebranded from PrestoSQL
Current release3.1.3, April 20223.4.1 ( 2.13), June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaScalaJava
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
macOS infofor devlopment
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesnodepending on connected data-source
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC++
Java
PHP
Python
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes, depending on connected data-source
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Coredepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and rolesnoSQL standard access control
More information provided by the system vendor
HiveSpark SQLTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
News

Trino Gateway has arrived
28 September 2023

Learning SQL with Trino from the experts
27 September 2023

Chinese edition of Trino: The Definitive Guide
21 September 2023

Join us for Trino Summit 2023
14 September 2023

FugueSQL: Interoperable Python and Trino for interactive workloads
27 July 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HiveSpark SQLTrino
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